Machine Learning Researcher - Agentic Science

About

Develop the agentic research vertical at PostEra, using agentic systems to automate the development of mechanistic models for biochemical and physiological processes.

Requirements

• PhD degree in machine learning, or STEM research involving the development of novel machine learning approaches
• Strong research or engineering experience in modern machine learning, deep learning, or statistical modeling
• Hands-on experience training, debugging, and evaluating ML models in Python using frameworks such as PyTorch or JAX
• Ability to independently translate ambiguous scientific or technical problems into well-defined ML projects

Responsibilities

• Develop and benchmark agentic systems to automate the development of quantitative models
• Independently identify, formulate, and lead research projects
• Design and train models that adapt to new assays, endpoints, targets, or chemical series
• Work with scientists to connect modeling objectives and evaluation metrics to practical decisions
• Develop efficient training and data pipelines

Benefits

• Equity: 0.05 - 0.1%